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- Tasks: Join our team to develop cutting-edge AI solutions that transform business operations.
- Company: Be part of a pioneering company revolutionising enterprise workflows with AI technology.
- Benefits: Enjoy a competitive salary and the chance to shape an innovative platform.
- Why this job: This role offers a unique opportunity to lead AI development and make a real impact.
- Qualifications: You need experience in deep learning, NLP, and deploying AI models at scale.
- Other info: Must be based in London; no relocation support available.
The predicted salary is between 90000 - 210000 £ per year.
We are seeking a pioneering AI Engineer to join our founding team. This role offers the unique opportunity to shape and build an AI-native platform designed to revolutionise enterprise operations by orchestrating workflows between human teams and AI agents. As a founding member, you will lead the development of intelligent systems that learn from human decision-making, automate complex business processes, and integrate seamlessly across various tools and departments. Your work will be instrumental in creating a unified, data-driven operating system that enhances productivity and efficiency at scale.
Key Responsibilities:
- AI System Development: Design and implement advanced AI solutions to automate and optimise business processes, ensuring high performance, scalability, and reliability.
- Agentic LLM/RAG Systems: Build sophisticated agentic systems leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), optimising for performance and cost by selecting appropriate models (foundation, fine-tuned, or custom-built).
- Cross-Functional Collaboration: Work closely with product engineering teams to understand business requirements and translate them into AI-powered solutions.
- Technical Leadership: Provide guidance and mentorship to other engineers, establishing best practices and coding standards.
Requirements:
- Experience in Deep Learning & NLP: Proven experience in deep learning with a focus on natural language processing.
- LLM Expertise: Strong understanding of large language models and grounding techniques.
- Production Deployment: Experience deploying and monitoring AI models in production environments at scale.
- Data Science Knowledge: Solid foundation in data science principles and practices.
- Strategic Thinking: Ability to design and implement complex AI algorithms that solve real-world business problems.
- Communication Skills: Excellent communication and collaboration skills to effectively partner with product teams and clients.
This role is based in London and paying a base salary of c£150k. PLEASE NOTE: YOU MUST ALREADY BE BASED IN LONDON. RELOCATION SUPPORT IS NOT PROVIDED.
AI Engineer (City of London) employer: Seer
Contact Detail:
Seer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (City of London)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in deep learning and natural language processing. Being well-versed in current trends and technologies will not only boost your confidence but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Network with professionals in the AI community, especially those who have experience with large language models and agentic systems. Attend meetups, webinars, or conferences to connect with potential colleagues and gain insights that could be beneficial for your application.
✨Tip Number 3
Prepare to discuss your previous projects involving AI solutions, particularly those that required cross-functional collaboration. Highlighting your ability to work with product teams will show that you can effectively translate business needs into technical solutions.
✨Tip Number 4
Brush up on your communication skills, as this role requires excellent collaboration with various teams. Practising how to articulate complex AI concepts in simple terms will help you stand out during interviews and demonstrate your leadership potential.
We think you need these skills to ace AI Engineer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deep learning and natural language processing. Emphasise any projects where you've implemented AI solutions or worked with large language models, as this will directly relate to the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how you envision contributing to the company's mission. Mention specific examples of your work that align with the responsibilities outlined in the job description, particularly around AI system development and cross-functional collaboration.
Showcase Technical Skills: Include a section in your application that details your technical skills relevant to the role. Highlight your experience with production deployment of AI models, as well as any familiarity with agentic systems and data science principles.
Prepare for Potential Questions: Anticipate questions related to your strategic thinking and problem-solving abilities. Be ready to discuss how you've tackled real-world business problems using AI algorithms in previous roles, as this will demonstrate your fit for the position.
How to prepare for a job interview at Seer
✨Showcase Your AI Expertise
Be prepared to discuss your experience with deep learning and natural language processing in detail. Highlight specific projects where you've implemented AI solutions, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Technical Leadership
Since this role involves mentoring other engineers, be ready to share examples of how you've guided teams in the past. Discuss your approach to establishing best practices and coding standards, as well as any successful collaborations you've led.
✨Prepare for Cross-Functional Collaboration
Understand the importance of working closely with product engineering teams. Be ready to explain how you've translated business requirements into AI-powered solutions in previous roles, showcasing your ability to bridge the gap between technical and non-technical stakeholders.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this position. Practice articulating complex AI concepts in a way that is accessible to those without a technical background. This will demonstrate your ability to collaborate effectively with product teams and clients.
